Top Machine Learning Jobs in Minneapolis, MN

The Senior Staff Software Engineer will drive infrastructure improvements and build systems to enhance user experience and growth at Coinbase.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Lead and manage an engineering team to enhance the Sponsored Results platform, focusing on machine learning and full-stack solutions to drive revenue growth and improve client interactions.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

The Senior Technical Sourcer will partner with recruiters to source candidates, develop market mapping, and build a diverse talent pipeline for technical roles, especially in Machine Learning and related fields.

As an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Data Scientist will apply analytics, statistical modeling, and machine learning to enhance supply chain processes, utilizing large datasets to improve decision-making and reduce costs.

The Director of Product Management - AI will lead the strategic direction and execution of AI features for Epicor's ERP, oversee product lifecycle, manage team dynamics, and ensure customer needs guide product development.

As an AI Architect, you'll design and build AI agents, leading technical discovery sessions with clients to enhance customer experience using AI solutions.

Cedar seeks a Staff Applied AI Scientist to develop AI-powered healthcare solutions, lead projects, mentor the team, and enhance patient billing experiences.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

Lead and grow Rula's privacy program ensuring compliance with HIPAA and other regulations while addressing AI-related risks and managing privacy incidents.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Director will lead the Global BI Lab, driving analytics strategy, developing machine learning models, and collaborating with cross-functional teams to enhance decision-making and business performance.

The Clinical Performance Auditor will conduct record reviews, analyze data for improvement opportunities, and provide education on clinical concepts to clients and internal teams.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

As a Senior Machine Learning Engineer, you will design ML APIs, build data pipelines, deploy models, and collaborate with various engineering teams to improve ML solutions for physical operations.

The role involves building and improving computer vision models, working with 3D data, implementing MLOps, and collaborating with product teams.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.